AIGDet: Altitude-Information-Guided Vehicle Target Detection in UAV-Based Images-Reference-Cited by-同舟云学术

AIGDet: Altitude-Information-Guided Vehicle Target Detection in UAV-Based Images

Published:2024-07-15 Issue:14 Volume:24 Page:22672-22684
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yang Ziqin¹,Xie Fuxin¹^ORCID,Zhou Jian²^ORCID,Yao Yuan³,Hu Cheng⁴,Zhou Baoding⁵^ORCID

Affiliation:

1. School of Electrical Engineering and Automation, Wuhan University, Wuhan, China

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China

4. College of Computer Technology, Wuhan Institute of Shipbuilding Technology, Wuhan, China

5. College of Civil and Transportation Engineering and Institute of Urban Smart Transportation and Safety Maintenance, Shenzhen University, Shenzhen, China

Funder

Major Program of Hubei Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10599846/10552170.pdf?arnumber=10552170

Reference45 articles.

1. Vision meets drones: A challenge;Zhu;arXiv:1804.07437,2018

2. SSPNet: Scale Selection Pyramid Network for Tiny Person Detection From UAV Images

3. Feature Pyramid Networks for Object Detection

4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

5. Cascade R-CNN: Delving Into High Quality Object Detection

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